Tuscarora, Inc., a merchandising company, has the following budgeted figures: Jan Feb Mar April Sales $57,300 $60,000 $83,000 $98,000 Cost of goods sold 50% of sales Required ending inventory $10,000 + 30% of next month's sales Inventory on hand on Jan 1 $30,000 Calculate the budgeted purchases for the month of January. A. $56,650 B. $650 C. $28,000 D. $26,650

As a group is leaving, you ask them if they had a good experience at the restaurant. they mention that they had poor service and their food was cold. a. apologize and ask them to give the restaurant another chance in the future. you tell them that guests usually have a great experience here. b. apologize then ask for the server’s name and immediately notify the manager after they leave. c. apologize for the bad experience and ask them to wait as you call the manager to talk to them. d. apologize for the bad experience and encourage them to complete the customer service survey. this feedback will ensure other guests do not have the same experience.

You are the manager of the packaging department in a cookie factory. (obviously, the packaging employees cannot eat the cookies that are transferred in during the period.) after your employees insert cookies into colorful packages (step 1) for display on store shelves, the packages of cookies are then boxed using cardboard cartons (step 2) for shipment to stores. each unit of product is represented by a carton of packaged cookies. the packaging department began the period with 1,000 units of cookies. during the period, 5,000 units of cookies were transferred in from the baking department and 5,500 units of cookies were transferred out to the finished goods department. the number of units of cookies in the ending inventory of the packaging department equals:

An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 compute b 1 and b 0 (to 2 decimals if necessary). b 1 b 0 complete the estimated regression equation (to 2 decimals if necessary). = + x what is the variable cost per unit produced (to 1 decimal)? $ compute the coefficient of determination (to 4 decimals). note: report r 2 between 0 and 1. r 2 = what percentage of the variation in total cost can be explained by the production volume (to 2 decimals)? % the company's production schedule shows 500 units must be produced next month. what is the estimated total cost for this operation (to 2 decimals)? $